Blur detection for digital images using wavelet transform

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Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang

Published: 2004, Last Modified: 21 Jan 2026ICME 2004EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: With the prevalence of digital cameras, the number of digital images increases quickly, which raises the demand for image quality assessment in terms of blur. Based on the edge type and sharpness analysis, using the Harr wavelet transform, a new blur detection scheme is proposed in this paper, which can determine whether an image is blurred or not and to what extent an image is blurred. Experimental results demonstrate the effectiveness of the proposed scheme.